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Prepared by:
T. Swetha
P. Sri VyshnaviAbstract
The biometric person authentication technique based on the pattern of the human iris is well suited for application to any access control system requiring a high level of security. Iris technology has been applied to person verification and identification. This thesis examines
1) Comparitive study of biometric security techniques such as fingerprint, voice, facial, retina and iris.
2) An algorithm for iris recognition system, which is composed of iris image acquisition, segmentation, normalization, feature extraction and matching.
In this a fusion mechanism that amalgamates canny edge detection scheme is used to detect the iris’ boundaries in the eye’s digital image. Haar wavelet is applied in order to extract the deterministic patterns in a person’s iris in the form of a feature vector. By comparing the quantized vectors using the Hamming Distance operator, determined finally whether two irises are similar. Experimental results show that the algorithm is efficient and adaptive to environment. The system performed with perfect recognition on a set of eye images. Therefore, iris recognition is shown to be a reliable and accurate biometric technology.

Introduction
The purpose of ‘Iris Recognition’, a biometrical basic technology for personal identification and verification, is to recognize a person from his/her iris prints. In fact, iris patterns are characterized by high level stability and distinctiveness. Each individual has a unique iris (see figure 1.1); the difference even exists between identical twins and between the left and right eye of the same person.
Among various physical characteristics, iris patterns have attracted a lot of attention for the last few decades in biometric technology because they have stable and distinctive features for personal identification that is because every iris has fine and unique patterns and does not change over time since two or three years after the birth, so it might be called as a kind of optical finger print. The automated personal identity authentication systems based on iris recognition are reputed to be the most reliable among all biometric methods. We consider that the probability of finding two people with identical iris pattern is almost zero, thus making this technology an important biometric solution for people identification in access control as networked access to computer application.

Abstract
The biometric person authentication technique based on the pattern of the human iris is well suited for application to any access control system requiring a high level of security. Iris technology has been applied to person verification and identification. This thesis examines
1) Comparitive study of biometric security techniques such as fingerprint, voice, facial, retina and iris.
2) An algorithm for iris recognition system, which is composed of iris image acquisition, segmentation, normalization, feature extraction and matching.
In this a fusion mechanism that amalgamates canny edge detection scheme is used to detect the iris’ boundaries in the eye’s digital image. Haar wavelet is applied in order to extract the deterministic patterns in a person’s iris in the form of a feature vector. By comparing the quantized vectors using the Hamming Distance operator, determined finally whether two irises are similar. Experimental results show that the algorithm is efficient and adaptive to environment. The system performed with perfect recognition on a set of eye images. Therefore, iris recognition is shown to be a reliable and accurate biometric technology.